1.Comparing intake adequacy and dietary diversity between adolescent schoolgirls with normal nutritional status (NG) and undernutrition (UG) based on BMI-forage (BAZ) living in urban slums in Central Jakarta
Rika Rachmalina ; Helda Khusun ; Luluk Basri Salim ; Luh Ade Ari Wiradnyani ; Drupadi HS Dillon
Malaysian Journal of Nutrition 2019;25(Supplement):19-32
Introduction: Undernutrition among adolescent girls is an important concern due to their rapid growth velocity that requires adequate intake of energy and nutrients. This study compared intake adequacy and dietary diversity between adolescent public schoolgirls from slum areas in Central Jakarta who had normal and poor nutritional status.
Methods: A total of 220 eligible girls aged 14–18 years were recruited, with an equal proportion in the normal group (NG) [-1 to +1 SD body mass index-for-age z-score (BAZ)], and undernutrition group (UG) (BAZ < -1SD). Dietary intake was assessed using two non-consecutive 24-hour recalls. Dietary diversity scores (DDS) were determined with reference to the intake of 13 food groups with a minimum daily intake of 15 gram/food group. Receiver operating curve analysis was performed to obtain the DDS cut-off. The Mann–Whitney test was performed to compare DDS between the NG and UG. Logistic regression analysis was conducted to examine the likelihood of potential factors in predicting nutritional status outcome.
Results: Overall, almost half of the girls’ daily food intake showed low dietary diversity based on DDS cut-off <5, with no significant difference between NG and UG adolescents. Protein intake inadequacy showed significant unlikelihood of a NG outcome (OR=0.4; 95% CI: 0.2-0.8), while low socioeconomic status (SES) showed a strong likelihood of an UG (OR=2.7; 95% CI: 1.3-5.5) compared to high SES.
Conclusion: Low dietary intake and DDS were common among adolescent schoolgirls in slum areas in Jakarta. Nutrition interventions promoting appropriate dietary intake among adolescent girls are recommended.
2.In-hospital malnutrition among adult patients in a national referral hospital in Indonesia
Dyah PURNAMASARI ; Nur Chandra BUNAWAN ; Dwi SUSENO ; Ikhwan RINALDI ; Drupadi HS DILLON
Nutrition Research and Practice 2023;17(2):218-227
BACKGROUND/OBJECTIVES:
Malnutrition during hospitalization is linked to increased morbidity and mortality, but there are insufficient studies observing clinical factors contributing to weight loss during hospitalization in Indonesia. This study was therefore undertaken to determine the rate of weight loss during hospitalization and the contributing factors.
SUBJECTS/METHODS:
This was a prospective study involving hospitalized adult patients aged 18–59 yrs, conducted between July and September 2019. Body weight measurement was taken at the time of admission and on the last day of hospitalization. The factors studied were malnutrition at admission (body mass index < 18.5 kg/m2 ), immobilization, depression (Beck Depression Inventory-II Indonesia), polypharmacy, inflammatory status (neutrophil-lymphocytes ratio;NLR), comorbidity status (Charlson Comorbidity Index; CCI), and length of stay.
RESULTS:
Totally, 55 patients were included in the final analysis, with a median age of 39 (18-59 yrs) yrs. Of these, 27% had malnutrition at admission, 31% had a CCI score > 2, and 26% had an NLR value of ≥ 9. In all, 62% presented with gastrointestinal symptoms, and depression was documented in one-third of the subjects at admission. Overall, we recorded a mean weight loss of 0.41 kg (P = 0.038) during hospitalization, with significant weight loss observed among patients hospitalized for 7 days or more (P = 0.009). The bivariate analysis revealed that inflammatory status (P = 0.016) was associated with in-hospital weight loss, while the multivariate analysis determined that the contributing factors were length of stay (P < 0.001) and depression (P = 0.019).
CONCLUSIONS
We found that inflammatory status of the patient might influence the incidence of weight loss during hospitalization, while depression and length of stay were independent predictors of weight loss during hospitalization.